Data Analyst - Remote

Overview

Jama Software® is focused on maximizing innovation success in multidisciplinary engineering organizations. Numerous firsts for humanity in fields such as fuel cells, electrification, space, software-defined vehicles, surgical robotics, and more all rely on Jama Connect® requirements management software to minimize the risk of defects, rework, cost overruns, and recalls. Using Jama Connect, engineering organizations can now intelligently manage the development process by leveraging Live Traceability™ across best-of-breed tools to measurably improve outcomes. Our rapidly growing customer base spans the automotive, medical device, life sciences, semiconductor, aerospace & defense, industrial manufacturing, consumer electronics, financial services, and insurance industries.

In Short

• Analyze data using SQL and Python to uncover trends and patterns.
• Create dashboards and reports to communicate data analysis results.
• Collaborate with go-to-market teams to present data findings.
• Ensure data quality and integrity by resolving discrepancies.
• Generate actionable insights for business growth.
• Stay updated with the latest data analysis tools and techniques.
• Communicate complex findings to non-technical stakeholders.
• Work in a virtual first and culturally diverse environment.
• Participate in continuous learning and development.
• Contribute to company-shaping initiatives.

Requirements

• 2+ years of experience in a data-focused role.
• Proficient in SQL with the ability to write complex queries.
• Experience with Python for data analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong problem-solving skills and statistical knowledge.
• Ability to present insights to cross-functional teams.
• Excellent communication skills.
• A passion for continuous learning.

Benefits

• Virtual first and culturally diverse work environment.
• Flexible time off and wellness reimbursement.
• Comprehensive medical, dental, and vision plans.
• 6+ weeks of paid parental leave.
• Emphasis on learning and development with LinkedIn Learning.